Since the introduction of the first cameraphones, the devices and usage contexts of personal digital photography have been undergoing rapid transformation from the traditional camera-to-desktop-to-network image pipeline to an integrated mobile imaging experience. Our first Mobile Media Metadata prototype leveraged the spatio-temporal context and the social community of media capture to infer media content.

MMM2 used ‘context-to-community’ inferencing to support the sharing of mobile media by inferring the likely recipients for media captured on cameraphones based on the user’s and the community’s prior sharing history and contextual metadata such as the time of capture, CellID and GPS location, and Bluetooth-sensed human co-presence.